SIEMSOAR (Splunk) & Security Analytics
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Job Location:
Monthly Salary:
Posted on:
1 hour ago
Vacancies:
1 Vacancy
Job Summary
Description:
At least 8 years of experience in technology with hands on splunk development background.
At least 5 years of experience in SIEM and SOAR products such as Splunk Elastic Datadog Cribl etc.
At least 3 years of experience in Data Lake and data warehouse using products such as AWS S3 Snowflake Databricks etc.
Experience with scripting is highly preferred like Python Ansible etc.
Experience in creating trending metrics and management reports
Experience working in complex and large-scale environments.
Familiar with industry security regulations and frameworks (MITRE Attack Framework CIS etc.)
Working knowledge in RegEx Splunk search language etc. is required.
Knowledge and experience operating in hybrid-cloud environment.
Knowledge of networking fundamentals (e.g. TCP/IP) and strong troubleshooting skills.
Knowledge of modern security principles and their practical applications.
Knowledge and experience in AWS or Azure
Knowledge and experience with programming language to automate tasks (e.g. Python or PowerShell)
At least 8 years of experience in technology with hands on splunk development background.
At least 5 years of experience in SIEM and SOAR products such as Splunk Elastic Datadog Cribl etc.
At least 3 years of experience in Data Lake and data warehouse using products such as AWS S3 Snowflake Databricks etc.
Experience with scripting is highly preferred like Python Ansible etc.
Experience in creating trending metrics and management reports
Experience working in complex and large-scale environments.
Familiar with industry security regulations and frameworks (MITRE Attack Framework CIS etc.)
Working knowledge in RegEx Splunk search language etc. is required.
Knowledge and experience operating in hybrid-cloud environment.
Knowledge of networking fundamentals (e.g. TCP/IP) and strong troubleshooting skills.
Knowledge of modern security principles and their practical applications.
Knowledge and experience in AWS or Azure
Knowledge and experience with programming language to automate tasks (e.g. Python or PowerShell)
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
